SHAP Informed Neural Network by Jarrod Graham, Victor S. Sheng

“…This study highlights the potential of SHAP-informed methods to guide optimization processes through feature-level insights, offering advantages in data with complex feature interactions. Despite computational challenges, these methods provide a foundation for exploring how feature importance can inform neural network training, presenting promising directions for future research on scalable and efficient optimization techniques.…”
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TGEL-transformer: Fusing educational theories with deep learning for interpretable student performance prediction. by Yuhao Gong, Fei Wang, Yuchen Zhang, Jiaqi Geng

“…However, traditional educational data mining methods struggle to effectively integrate heterogeneous feature data and represent complex learning interaction processes, while existing deep learning models lack educational theory guidance, resulting in insufficient interpretability. …”
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Ultra-Short Wave Communication Squelch Algorithm Based on Deep Neural Network by Yuanxin Xiang, Yi Lv, Wenqiang Lei, Jiancheng Lv

“…The squelch problem of ultra-short wave communication under non-stationary noise and low Signal-to-Noise Ratio (SNR) in a complex electromagnetic environment is still challenging. …”
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Refining the Performance of Neural Networks with Simple Architectures for Indonesian Sign Language System (SIBI) Letter Recognition Using Keypoint Detection by Nur Hikma Amir, Chandra Kusuma Dewa, Ahmad Luthfi

“…The integration of VGG-16 with Attention resulted in underfitting, emphasizing that complexity does not always correlate with effectiveness. …”
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Sherwood Anderson's The Triumph of the Egg. A Book of Impressions from American Life in Tales and Poems as a Modernist Art Object by Olga N. Anikina

“…The research explores the multi-layered reality created by Anderson, which immerses reader in a complex world of human relationships and internal experiences. …”
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Advanced stress imaging in periodically strained, suspended, quasi-2D membranes: Manifestation of Fano resonance and phonon dynamics insights by Souvik Bhattacharjee, Biswajit Das, Anibrata Banerjee, Kalyan Kumar Chattopadhyay

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ST-GAT Resident OD Prediction Model Based on Mobile Signaling Data by Xianguang Jia, Weijie Fang, Yingying Lyu, Jinke Zhang, Mengyi Guo, Dong Li, Jie Qu, Fengxiang Guo

“…This model innovatively introduces the graph attention mechanism into the spatio-temporal graph network (ST-GNN), in the spatial dimension, the attention layer (GAL) dynamically learns the attention weights among nodes to adaptively capture the dynamic spatial dependencies in the transportation network, and in the temporal dimension, the temporal convolutional layer extracts the multiscale temporal patterns, which efficiently captures the complex spatiotemporal dependencies in the OD data. …”
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Improving individual tree crown volume estimation using high-accuracy boundary fitting based on stratified polar coordinate conversion with airborne laser scanning data by Jianpeng Zhang, Jinliang Wang, Weifeng Ma, Yuncheng Deng, Jiya Pan, Bangjin Yi, Cheng Wang

“…Results showed that SPCC outperformed both in accuracy and robustness, achieving the highest precision in complex crown simulations.…”
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Optimising islanded AC microgrid control: A hierarchical approach with FCS-VMPC and consensus algorithm by Zawar Khan, Muhammad Aamir, Rizwanullah Khan, Mohd Fairouz Mohd Yousof

“…The growing integration of distributed generation (DG) from renewable energy sources (RES) in modern power systems highlights the need for advanced hierarchical control strategies. The primary layer is typically implemented using a linear controller, while the secondary control relies on complex control strategies. …”
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Impact of land–climate interaction on thermo-hydro-mechanical based stability assessment of varved glacial slopes by Deepali Anand, Arindam Dey, Ravi Karangat

“…Slopes with RS as the topmost layer are found to evidently fail earlier than those with BS as the topmost layer; for the latter case, the area of soil involved in slope failure is comparatively lesser. …”
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Fabrication of self-sensing soft robots via multi-material digital light processing 3D printing of hydrogels by Yifei Miao, Xiaokang Liu, Shenglin Yang, Jinghong Ma

“…Soft robots, known for their flexibility, can adapt to various environments and perform complex tasks. Integrating actuation and sensing into one system is essential for improving soft robots. …”
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Balancing Depth for Robustness: A Study on Reincarnating Reinforcement Learning Models by Gang Li, Zhuxiao Wang, Shaowei He, Xiyuan Chen, Yunlei Xie, Jiajun Hu, Kehe Wu, Jingping Jia

“…While deeper networks risk overfitting, shallower architectures struggle to cope with complex task dynamics. Our results highlight the key role of adaptive depth in enhancing the generalization, stability, and efficiency of RRL models.…”
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Establishment of an Improved Elman Neural Network Model for Predicting the Corrosion Rate of 3C Steel in Marine Environment and Analysis of the Factors Affecting Model Accuracy by Wenbo Jin, Zhuo Chen, Wanying Liu, Qing Quan, Zongxiao Ren

“…In the marine environment, there is a complex nonlinear relationship between the corrosion rate and seawater environmental parameters. …”
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Toward high-efficiency multi-material additive manufacturing: a two-step hybrid fabrication strategy by Zhengda Chen, Dawei Fu, Xiangjun Zha, Huan Qi, Jigang Huang

“…However, it faces significant limitations when producing multi-material objects in the traditional layer-by-layer manner, as the approach requires frequent material switching, making the process prohibitively time-consuming. …”
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Experimental Study on Smoke Spreading Laws for Tunnel Fires with Moving Fire Source by Yi Qin, Zhen Yang, Zhihao Zhang, Xiong Zhu, Shimei Dai, Wen Jiang

“…Compared with a stationary fire, the spread of smoke in a moving fire source is more complex, which means hazardous consequences. The study of smoke flow and distribution of ceiling temperature is essential for effective emergency response strategies and efficient execution of rescue operations. …”
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The interfacial reactions of Mg battery anodes by Xuehong Luo, Ao Shen, Bo Liu, Junjie Wu, Mengbiao Fan, Na Yang, Gaopeng Zhang, Xi Chen, Qingwei Dai

“…This review summarizes the limitations of Mg batteries and explores the complex reactions at the Mg anode/electrolyte interface. …”
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Research on the Response Characteristics of Excavation and Support in Circular Sand Soil Foundation Pit Based on Parameter Verification by Xuhe Gao, Yanqiu Bi, Yi Dong, Jiading Wang, Xiaoling Liu, Jiachun Li

“…This study is aimed at the complex deformation response characteristics of deep soil in the processes of excavation and support of round sand foundation pits. …”
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Coordination of preventive, emergency and restorative trading strategies under uncertain sequential extreme weather events by Xuemei Dai, Jing Zhou, Xu Zhang, Kaifeng Zhang, Wei Feng

“…First, a two-layer graph neural network (GNN) is employed to predict the probability distribution of system outages caused by SEWEs. …”
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Investigation of Effect of Surface Modification by Electropolishing on Tribological Behaviour of Worm Gear Pairs by Robert Mašović, Suzana Jakovljević, Ivan Čular, Daniel Miler, Dragan Žeželj

“…Moreover, electropolished worms can reliably support full contact patterns and prevent scuffing due to improved lubrication conditions resulting from the produced surface texture and oxide surface layer. Based on the obtained results, electropolishing presents a promising method for surface texturing and modification in machine elements characterized by highly loaded non-conformal contacts and complex geometry.…”
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Assessment of the Additive Fabrication Quality of Sandwich Structures with Novel Triply Periodic Minimal Surface Cores by Alexandru Vasile, Dan Mihai Constantinescu, Iulian Constantin Coropețchi, Ștefan Sorohan, Dragoș Alexandru Apostol

“…The aim of the paper is to verify if such complex metamaterials can be fabricated effectively without defects that could compromise their mechanical response. …”
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